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Data center management best practices call for a strategic approach to balancing IT service delivery and cost efficiency. With the growing complexity of data centers from the demand for new service offerings and the sheer amount of physical compute, network, and storage required to provide those services, data center managers are quickly realizing that manual tools, such as Excel spreadsheets and Visio diagrams, are no longer an effective way to manage their data centers. Instead, sophisticated data center infrastructure management (DCIM) tools that measure, monitor, and provide a best practices operations framework are needed.

According to a 2012 IDC report “Most are pursuing a path to ensure appropriate levels of IT service delivery and cost efficiency and alignment to business goals. For some data centers this means providing state of the art levels of availability, flexibility, and scalability, while for others the goal may be to provide “sufficient” levels of services while keeping new capital expenditures to a minimum.“ In fact, IDC also quantified that “Data centers that are operating at the highest level of efficiency allocate 50 percent more of their IT resources to new projects.”

To become more efficient and to ensure that the demand for new services can be met by the capacity and the infrastructure, successful IT organizations have spent a lot of time creating a set of best practices surrounding an organization’s tools, technologies and processes. It’s about using these tools to provide a more functional, reliable, and energy efficient data center. Here are some of the data center standards and best practices, centered around the use of DCIM tools, organizations like yourself have adopted:

Know what you have – identify your current assets, their connections, and capacity information storing all such information in a single database repository system. Having all this information in a single place ensures accurate capacity planning and forecasting, faster provisioning, quicker troubleshooting and mean time to repair (MTTR).

Benchmark your current performance – you can’t measure what you don’t monitor. Use meters and monitoring tools to identify current energy performance, hot spots, heat related equipment failure. Using this data later to compare trends data over time to baseline performance can help predict and avoid equipment failure, improving long-term reliability

Optimize to maximize capacity and utilization. Develop an Energy Management Program to minimize ongoing energy costs. Continually measure and adjust energy usage, Power Usage Effectiveness (PUE), airflow, cooling, humidity, temperature, and power. Use this data to understand what draws energy in your facility, do more with less, find ways to save on energy usage and adjust to real-time operating conditions, including lowering/raising of temperature set points to maintain a safe environment for your IT equipment.

Plan and manage change throughout the entire lifecycle. Put processes in place to enable quick response, streamlining of activities and the ability to audit. Automate as many of the manually intensive processes to reduce errors and time to deploy.